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      The influence of habitat structure on genetic differentiation in red fox populations in north-eastern Poland

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          Abstract

          The red fox ( Vulpes vulpes) has the widest global distribution among terrestrial carnivore species, occupying most of the Northern Hemisphere in its native range. Because it carries diseases that can be transmitted to humans and domestic animals, it is important to gather information about their movements and dispersal in their natural habitat but it is difficult to do so at a broad scale with trapping and telemetry. In this study, we have described the genetic diversity and structure of red fox populations in six areas of north-eastern Poland, based on samples collected from 2002–2003. We tested 22 microsatellite loci isolated from the dog and the red fox genome to select a panel of nine polymorphic loci suitable for this study. Genetic differentiation between the six studied populations was low to moderate and analysis in Structure revealed a panmictic population in the region. Spatial autocorrelation among all individuals showed a pattern of decreasing relatedness with increasing distance and this was not significantly negative until 93 km, indicating a pattern of isolation-by-distance over a large area. However, there was no correlation between genetic distance and either Euclidean distance or least-cost path distance at the population level. There was a significant relationship between genetic distance and the proportion of large forests and water along the Euclidean distances. These types of habitats may influence dispersal paths taken by red foxes, which is useful information in terms of wildlife disease management.

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          The online version of this article (doi:10.1007/s13364-014-0180-2) contains supplementary material, which is available to authorized users.

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          The application of ‘least-cost’ modelling as a functional landscape model

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            Quantitative measurement of food selection

            The forage ratio and Ivlev's electivity index are common measures to quantify food selection but the values of both indices depend not only on the extent of selection but also on the relative abundances of the food types in the environment. They are therefore useless when food types with different relative abundances are compared, or when the relation between selection and relative abundance is studied. Modified versions of both indices are proposed which are based directly on the rates of decrement (mortality) of the food due to feeding, and are independent of the relative abundance.
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              Spatial autocorrelation analysis of individual multiallele and multilocus genetic structure.

              Population genetic theory predicts that plant populations will exhibit internal spatial autocorrelation when propagule flow is restricted, but as an empirical reality, spatial structure is rarely consistent across loci or sites, and is generally weak. A lack of sensitivity in the statistical procedures may explain the discrepancy. Most work to date, based on allozymes, has involved pattern analysis for individual alleles, but new PCR-based genetic markers are coming into vogue, with vastly increased numbers of alleles. The field is badly in need of an explicitly multivariate approach to autocorrelation analysis, and our purpose here is to introduce a new approach that is applicable to multiallelic codominant, multilocus arrays. The procedure treats the genetic data set as a whole, strengthening the spatial signal and reducing the stochastic (allele-to-allele, and locus-to-locus) noise. We (i) develop a very general multivariate method, based on genetic distance methods, (ii) illustrate it for multiallelic codominant loci, and (iii) provide nonparametric permutational testing procedures for the full correlogram. We illustrate the new method with an example data set from the orchid Caladenia tentaculata, for which we show (iv) how the multivariate treatment compares with the single-allele treatment, (v) that intermediate frequency alleles from highly polymorphic loci perform well and rare alleles poorly, (vi) that a multilocus treatment provides clearer answers than separate single-locus treatments, and (vii) that weighting alleles differentially improves our resolution minimally. The results, though specific to Caladenia, offer encouragement for wider application.
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                Author and article information

                Contributors
                jwojcik@ibs.bialowieza.pl
                Journal
                Acta Theriol (Warsz)
                Acta Theriol
                Acta Theriologica
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0001-7051
                2190-3743
                22 March 2014
                22 March 2014
                2014
                : 59
                : 367-376
                Affiliations
                [ ]Mammal Research Institute, Polish Academy of Sciences, 17-230 Białowieża, Poland
                [ ]School of Biology and Environmental Science, University College Dublin, Belfield, Dublin 4, Ireland
                Author notes

                Communicated by: Cino Pertoldi

                Article
                180
                10.1007/s13364-014-0180-2
                4058057
                24954926
                ff7fd9f9-33dc-4e04-bc46-732aa1462caf
                © The Author(s) 2014

                Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.

                History
                : 11 December 2013
                : 5 March 2014
                Categories
                Original Paper
                Custom metadata
                © Mammal Research Institute, Polish Academy of Sciences, Białowieża, Poland 2014

                Animal science & Zoology
                microsatellites,spatial autocorrelation,bayesian clustering,landscape resistance,least-cost path

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